ESGI (European Study Group with Industry) is Europe's leading workshop bringing together mathematicians and industrial companies. These week-long workshops have been held annually since 1968 and were previously known as the Oxford Study Groups with Industry, where they attracted leading mathematicians to work on industrial problems. In Denmark these workshops are conducted alternately at DTU and SDU.
Companies submit mathematical problems for the study group to solve; often in the form of a modelling or an optimization problem. Participants work in groups around each problem, presenting the results of their efforts to industry at the end of the week. A written report on each problem is drawn up and presented to the companies.
The fee for submitting a problem is DKK 25.000. Contact one of the organizors by email for information on how to submit a problem.
* There is no participation fee for academics and PhD students.
* Accommodation is free for academics whereas students must cover their own accommodation.
* Coffee, lunch and dinner is free for all participants.
Complete this form to register and reserve accommodation. Deadline Sunday August 6 2017.
The ESGI and PhD course will take place at Graasten Landbrugsskole in the beautiful countryside of Southern Denmark.
The venue has convenient on-site accommodation and a variety of lesiure activities.
In connection with the study group, there is a Ph.D. course: Applied Mathematics in Industry. This 5 ECTS course includes participation in the study group, and begins four days before the 'regular' study group with three 1-day lecture courses in various topics.
For ESGI 129 the lecturers are:
* 17/8 Associate Professor Søren Peder Madsen,
Selected Topics in Optimization
* 18/8 Associate Professor Uffe Høgsbro Thygesen,
Technical University of Denmark
Stochastic Differential Equations: Theory, Applications, and Computations
* 19/8 Name :
* Pointsource: Title
* NN: Title
* Amarna Ltd: Modelling social change with hypercomplex numbers
* AlfaLaval: Power recovery from rotational fluid flow
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